{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-23T09:53:24.978526Z",
     "start_time": "2019-11-23T09:53:24.974206Z"
    }
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "import torchvision\n",
    "from torchvision import datasets, transforms\n",
    "from torch.autograd.gradcheck import zero_gradients\n",
    "import torch.utils.data.dataloader as Data\n",
    "import torch.nn as nn\n",
    "from torchvision import models\n",
    "import numpy as np\n",
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-23T09:57:54.278435Z",
     "start_time": "2019-11-23T09:57:54.262097Z"
    }
   },
   "outputs": [],
   "source": [
    "#对比展现原始图片和对抗样本图片\n",
    "def show_images_diff(original_img,original_label,adversarial_img,adversarial_label):\n",
    "    import matplotlib.pyplot as plt\n",
    "    plt.figure()\n",
    "\n",
    "    #归一化\n",
    "    if original_img.any() > 1.0:\n",
    "        original_img=original_img/255.0\n",
    "    if adversarial_img.any() > 1.0:\n",
    "        adversarial_img=adversarial_img/255.0\n",
    "\n",
    "    plt.subplot(131)\n",
    "    plt.title('Original')\n",
    "    plt.imshow(original_img)\n",
    "    plt.axis('off')\n",
    "\n",
    "    plt.subplot(132)\n",
    "    plt.title('Adversarial')\n",
    "    plt.imshow(adversarial_img)\n",
    "    plt.axis('off')\n",
    "\n",
    "    plt.subplot(133)\n",
    "    plt.title('Adversarial-Original')\n",
    "    difference = adversarial_img - original_img\n",
    "    #(-1,1)  -> (0,1)\n",
    "    difference=difference / abs(difference).max()/2.0+0.5\n",
    "    plt.imshow(difference,cmap=plt.cm.gray)\n",
    "    plt.axis('off')\n",
    "    plt.tight_layout()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-23T10:04:03.698824Z",
     "start_time": "2019-11-23T10:04:03.621351Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([1, 3, 224, 224])\n"
     ]
    }
   ],
   "source": [
    "#获取计算设备 默认是CPU\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "\n",
    "#图像加载以及预处理\n",
    "image_path=\"/home/schenk/lab/adversarial_examples-master/picture/cropped_panda.jpg\"\n",
    "orig = cv2.imread(image_path)[..., ::-1]   \n",
    "orig = cv2.resize(orig, (224, 224))\n",
    "img = orig.copy().astype(np.float32)\n",
    "\n",
    "mean = [0.485, 0.456, 0.406]\n",
    "std = [0.229, 0.224, 0.225]\n",
    "img /= 255.0\n",
    "img = (img - mean) / std\n",
    "img = img.transpose(2, 0, 1)  # 将原本(长，宽，通道数)的图片转成(通道数，长，宽)\n",
    "\n",
    "img=np.expand_dims(img, axis=0)\n",
    "\n",
    "img = torch.from_numpy(img).to(device).float()\n",
    "print(img.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-23T11:34:33.803505Z",
     "start_time": "2019-11-23T11:34:32.798801Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "label=388\n"
     ]
    }
   ],
   "source": [
    "#使用预测模式 主要影响droupout和BN层的行为\n",
    "model = models.alexnet(pretrained=True).to(device).eval()\n",
    "\n",
    "orig_label=np.argmax(model(img).data.cpu().numpy())\n",
    "print(\"label={}\".format(orig_label))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-23T11:34:34.770542Z",
     "start_time": "2019-11-23T11:34:34.767335Z"
    }
   },
   "outputs": [],
   "source": [
    "img.requires_grad = True\n",
    "for p in model.parameters():\n",
    "    p.requires_grad = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-23T11:35:49.056010Z",
     "start_time": "2019-11-23T11:35:49.052148Z"
    }
   },
   "outputs": [],
   "source": [
    "epochs = 100\n",
    "# 用作终止条件防止类别更新\n",
    "overshoot = 0.02\n",
    "# 类别数\n",
    "num_classes = 1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-23T11:45:38.574079Z",
     "start_time": "2019-11-23T11:45:38.535699Z"
    }
   },
   "outputs": [],
   "source": [
    "# forward\n",
    "output = model(img)\n",
    "input_shape = img.cpu().detach().numpy().shape\n",
    "# 需要迭代计算的参数w\n",
    "w = np.zeros(input_shape)\n",
    "# 累计扰动量\n",
    "r_tot = np.zeros(input_shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-23T11:53:43.341641Z",
     "start_time": "2019-11-23T11:52:30.835158Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch=0 label=388 score=13.935004234313965\n",
      "epoch=1 label=388 score=11.141042709350586\n",
      "epoch=2 label=805 score=9.55879020690918\n"
     ]
    }
   ],
   "source": [
    "for epoch in range(epochs):\n",
    "    scores = model(img).data.cpu().numpy()[0]\n",
    "    label = np.argmax(scores)\n",
    "    print(\"epoch={} label={} score={}\".format(epoch,label,scores[label]))\n",
    "    # 如果无定向攻击成功\n",
    "    if label != orig_label:\n",
    "        break\n",
    "    # 初始化最小移动距离pert为无穷大\n",
    "    pert = np.inf\n",
    "    output[0, orig_label].backward(retain_graph=True)\n",
    "    # 计算当前输入下的梯度值\n",
    "    grad_orig = img.grad.data.cpu().numpy().copy()\n",
    "    \n",
    "    # 遍历各个分类，计算对应的梯度，选择其中除了当前分类外，跨越分类边界距离最短的分类\n",
    "    for k in range(1, num_classes):\n",
    "        if k == orig_label:\n",
    "            continue\n",
    "        \n",
    "        #梯度清零\n",
    "        zero_gradients(img)\n",
    "        \n",
    "        output[0, k].backward(retain_graph=True)\n",
    "        cur_grad = img.grad.data.cpu().numpy().copy()\n",
    "\n",
    "        # set new w_k and new f_k\n",
    "        w_k = cur_grad - grad_orig\n",
    "        f_k = (output[0, k] - output[0, orig_label]).data.cpu().numpy()\n",
    "\n",
    "        pert_k = abs(f_k)/np.linalg.norm(w_k.flatten())\n",
    "\n",
    "        # 选择pert最小值\n",
    "        if pert_k < pert:\n",
    "            pert = pert_k\n",
    "            w = w_k\n",
    "\n",
    "    # 计算 r_i 和 r_tot\n",
    "    # 避免pert为0\n",
    "    r_i =  (pert+1e-8) * w / np.linalg.norm(w)\n",
    "        \n",
    "    r_tot = np.float32(r_tot + r_i)\n",
    "    \n",
    "    img.data=img.data + (1+overshoot)*torch.from_numpy(r_tot).to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-23T11:54:29.733585Z",
     "start_time": "2019-11-23T11:54:29.537165Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3, 224, 224)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "adv=img.data.cpu().numpy()[0]\n",
    "print(adv.shape)\n",
    "adv = adv.transpose(1, 2, 0)\n",
    "adv = (adv * std) + mean\n",
    "adv = adv * 255.0\n",
    "adv = np.clip(adv, 0, 255).astype(np.uint8)\n",
    "\n",
    "show_images_diff(orig,orig_label,adv,label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
